왜 앞서 해보기를 하나요?

“We have enough to wear a lot of systemic tracking methods on our body, so we have developed a non -wearing system tracking system that only uses the camera. To make more people experience the immersion of VR, we need a set of sets of sets of immersion. Very extremely easy to use systemic tracking system. We use the architecture of deep learning and neural networks, and the feedback products of early users need to become better. If possible, please allow us to collect your daily use data. We guarantee that this data will only be used for training models. , Make it more accurate and stable”

이 소프트웨어는 대략 얼마간 앞서 해볼 수 있나요?

“2 years”

정식 버전은 앞서 해보기 버전과 어떻게 달라지나요?

“We planing the full version will have more features:
> VR's whole body tracking (9 tracker in the upper body and the lower body)
> Gesture capture (seems to help you get rid of the handle button and the control method of the rays)
> 3D holographic call (even if it is no longer belonging to the category of Full Body Tracking)
> Use your real movement to control the movement of your game character and separate the upper and lower body (give you the speed of giving you progress according to the frequency of your steps, the upper and lower body are separated by the upper body, you can pull the gun horizontally)
> Emoticon recognition (suitable for parts that do not take the lead in showing live broadcast)
> Recording of action capture data (can export FBX and BVH's motion data format files)”

지금 앞서 해보기 버전은 어떤 상태인가요?

“Now we have completed the preliminary whole body tracking software and open a total of 5 trackers in the lower body. You can directly access the Steam VR. The current version can be used directly in the 《VR CHAT》, and the subsequent games will be gradually adapted.”

이 소프트웨어는 앞서해보기 기간동안 가격이 달라질 수도 있습니까?

“No, we will have a free experience capture version, but in order to achieve better results or export -capturing capture data, you need to purchase senior members in the software to order our dedicated camera at the same time”

개발 과정에 어떻게 커뮤니티를 참여시킬 계획이신가요?

“We need feedback from early users. Of course, it is best to agree to record the data in their use and upload it to us so that we can continue to train our neural network model”